Skill-based fantasy sports platform processing millions of daily wagers
PrizePicks operates a real-time contest and payments infrastructure handling high-volume daily transactions across NFL, NBA, and esports. The tech stack reveals a transactions-first architecture: Kafka for streaming, Redis and DynamoDB for low-latency state, Elasticsearch/OpenSearch for search, and GCP Kubernetes for scale. Active hiring skews heavily toward engineering and marketing (9 each) with senior-level concentration (19 of 32 roles), suggesting the company is scaling both infrastructure throughput and customer acquisition in parallel—consistent with pain points around transaction scaling, fraud losses, and paid-social efficiency.
Notable leadership hires: Promotions Director
PrizePicks is a skill-based daily fantasy sports platform headquartered in Atlanta, operating since 2015. The product covers major sports leagues (NFL, NBA) and esports titles (League of Legends, Counter-Strike, Valorant), and distributes through iOS, Android, and web. The business model is contest-entry based, with core product surfaces including gameplay engines, real-time pricing, payments processing, and social features (feeds, profiles, Discord integration). The platform serves millions of daily users; regulatory compliance across multiple jurisdictions and fraud prevention are material operational constraints.
Core: Python, SQL, Kafka (streaming), Redis/DynamoDB (state), Elasticsearch/OpenSearch (search). Infrastructure: GCP, Kubernetes, Terraform. Analytics: Tableau, R. Payments: Cybersource. Marketing: Meta Ads Manager, TikTok Ads Manager, AppsFlyer.
Real-time contest engines, payments infrastructure, pricing models, wallet systems, backend performance, paid social scaling, fraud detection, and tracking/measurement. Current focus: transaction scaling, regulatory compliance, and customer acquisition efficiency.
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